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我正在尝试分析 R 中的烛台形态 Marubozu。到目前为止，我能够下载不同的股票数据并在一个股票数据中使用“烛台”库找到形成。我想自动化这个过程，以便我可以同时在许多股票上运行 CSPMarubozu 函数。

我的主要问题是我无法真正理解如何将数据列表传递给这个函数。尝试使用 for 循环（尝试 1）执行此操作时出现以下错误：“CSPMarubozu 中的错误（（名称（stocks_list [i]）），n = 20，ATRFactor = 0.8，：价格系列必须包含开盘价、最高价、最低价并关闭。”我知道，我无法将字符变量传递给这个函数，但我找不到没有“”标记的获取索引名称的方法。（例如“AMZN”，我只需要 AMZN“

我的另一个尝试（尝试 2）是用 lapply() 函数来做，但同样的问题发生了

这是我的代码：

#install.packages(candlesticks)
        library(candlesticks)
        library(tidyquant)
        library(quantmod)
        
    #List of stock codes
    stocks <- c("AAPL","MSFT","GOOG","GOOGL","AMZN","TSLA","FB","ADI","ASML","ADBE","NTES","NFLX","JD","CSCO","AVGO","COST","PEP","CMCSA","PYPL","INTC","QCOM","INTU","TXN","TMUS","HON","AMAT","SBUX","CHTR","ISRG","AMGN","MRNA","ADP","LRCX","MU","TEAM","BKNG","GILD","MDLZ","CSX","PDD","MRVL","WDAY","REGN","KLAC","NXPI","ADSK","MELI","LULU","ILMN","ZM")
    
    #Timestamp
    start = '2019-01-01'
    end = '2020-01-01'
    
    #Stocks data download (creates XTS - objects)
    for (i in stocks)
    {
      i <- getSymbols(i, src = "yahoo", from = start, to = end)
    }
    
    #Stocks data download (creates list of XTS - objects
    stocks_list <- list()
    for (i in stocks){
      stocks_list[[i]] <- getSymbols(i, src = "yahoo", from = start, to = end, auto.assign=FALSE, return.class="xts")
    }
    
    #Finding Marubozu Candlestick in one stock
    AMZN_marubozu<- CSPMarubozu(AMZN, n=20, ATRFactor=.8, maxuppershadowCL=.017, maxlowershadowCL=.017)
    
    #Finding Marubozu Candlestick in the whole list of Stocks
      
      #Try 1
    for (i in names(stocks_list)){
      names(stocks_list[i]) <- CSPMarubozu((names(stocks_list[i])), n=20, ATRFactor=.8, maxuppershadowCL=.017, maxlowershadowCL=.017)
    }
    
      #Try 2
    DoMaru <- function(name)
    {
      CSPMarubozu(name, n=20, ATRFactor=.8, maxuppershadowCL=.017, maxlowershadowCL=.017)
    }
    
    apply_Marubozu <- lapply(stocks_list, DoMaru(stocks_list$name))
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1 回答 1

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这会下载股票，然后显示处理每种股票的三种不同等效方式。我们使用 dim(...) 但这将被任何所需的处理所取代。请注意，如果 x 是具有 OHLC 以及调整的收盘价和交易量的股票的 xts 对象，则 Op(x)、Hi(x)、Lo(x)、Cl(x)、Ad(x) 和 Vo(x)是 Open、High、Low、Close、Adjusted Close 和 Volume 的向量。

尽管下面的代码似乎更可取，但getSymbols(stocks); L <- mget(stocks)也可以将库存松散地放入您的工作区，然后将它们收集到列表 L 中。

library(quantmod)
stocks <- c("AAPL", "MSFT", "GOOG")
getSymbols(stocks, env = e <- new.env())

# 1. iterate over components of e
out1 <- eapply(e, function(x) { dim(x) })

L <- as.list(e)

# 2. iterate over names
out2 <- Map(function(nm) { x <- L[[nm]]; dim(x) }, names(L))
out2a <- Map(function(nm) { x <- e[[nm]]; dim(x) }, ls(e))

# 3. iterate over components of list L
out3 <- Map(function(x) { dim(x) }, L)

str(out1)
## List of 3
##  $ AAPL: int [1:2] 3764 6
##  $ GOOG: int [1:2] 3764 6
##  $ MSFT: int [1:2] 3764 6

identical(out1, out2)
## [1] TRUE

identical(out1, out2a)
## [1] TRUE

identical(out1, out3)
## [1] TRUE
于 2021-12-14T17:34:18.220 回答